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Reliability and validity of the usability scale for assistive technology for computer access: a preliminary study
Livia R Gosselin1, Sajay Arthanat1
1Department of Occupational Therapy, University of New Hampshire, Durham, New Hampshire, USA.
The Usability Scale for Assistive Technology-Computer Access (USAT-CA) demonstrates strong reliability and validity for selecting computer access devices. This tool aids in optimizing assistive technology for individuals with disabilities.
Area of Science:
- Assistive Technology Research
- Rehabilitation Engineering
- Human-Computer Interaction
Background:
- Selecting appropriate computer access assistive technology (AT) is crucial for individuals with disabilities.
- Existing evaluation tools may lack comprehensive usability assessment.
- Standardized tools are needed to improve AT selection efficiency and effectiveness.
Purpose of the Study:
- To establish the interrater reliability and content validity of the Usability Scale for Assistive Technology-Computer Access (USAT-CA).
- To validate USAT-CA as a tool for selecting computer access AT devices.
- To assess the consistency of AT provider recommendations using the USAT-CA.
Main Methods:
- AT providers evaluated two clients with physical disabilities using the USAT-CA.
- An expert cohort refined a draft version of the USAT-CA.
- A revised version was used by 13 AT providers who completed a validation questionnaire.
Main Results:
- The USAT-CA demonstrated good to excellent interrater reliability with intraclass correlation coefficient (ICC) scores ranging from 0.7 to 0.9.
- AT providers agreed on the tool's comprehensiveness, clarity, time efficiency, and utility.
- Consistent recommendations were made for computer access solutions, such as speech recognition software and ergonomic modifications.
Conclusions:
- The USAT-CA is a reliable and valid tool for evaluating computer access AT.
- The scale facilitates consistent and effective AT selection for individuals with disabilities.
- USAT-CA aids in optimizing client-computer interaction through informed device selection.
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